Analysis and Forecast of Consumer Price Index
Shichao Xiong1, Li Tan2
1Shichao Xiong, Department of Mathematics and Finance, Hunan University of Humanities Science and Technology, Loudi, China.
2Li Tan, Department of Mathematics and Finance, Hunan University of Humanities Science and Technology, Loudi, China.
Manuscript received on June 03, 2018. | Revised Manuscript received on June 09, 2018. | Manuscript published on June 15, 2018. | PP: 5-7 | Volume-5, Issue-6, June 2018. | Retrieval Number: F1074065618
Open Access | Ethics and Policies | Cite
© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Consumer price index (CPI) has become a hot term that has been paid attention to by the public. It is a macroeconomic index which reflects the price level of consumer goods and service items that households generally buy. An economic model is established to analyze this model to understand and understand the influencing factors of consumer price index. In this paper, the change of consumer price index is analyzed by linear regression method.
Keywords: Consumer Price Index; Linear Regression Analysis: Eviews; Forecast.